ICA extracts epileptic sources from fMRI in EEG-negative patients: a retrospective validation study.

Simultaneous EEG-fMRI has proven to be useful in localizing interictal epileptic activity. However, the applicability of traditional GLM-based analysis is limited as interictal spikes are often not seen on the EEG inside the scanner. Therefore, we aim at extracting epileptic activity purely from the...

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Autores principales:	Borbála Hunyadi, Simon Tousseyn, Bogdan Mijović, Patrick Dupont, Sabine Van Huffel, Wim Van Paesschen, Maarten De Vos
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4bf2bf0b3efa4ffab2f368e83d5e6868
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spelling	oai:doaj.org-article:4bf2bf0b3efa4ffab2f368e83d5e68682021-11-18T08:47:12ZICA extracts epileptic sources from fMRI in EEG-negative patients: a retrospective validation study.1932-620310.1371/journal.pone.0078796https://doaj.org/article/4bf2bf0b3efa4ffab2f368e83d5e68682013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24265717/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Simultaneous EEG-fMRI has proven to be useful in localizing interictal epileptic activity. However, the applicability of traditional GLM-based analysis is limited as interictal spikes are often not seen on the EEG inside the scanner. Therefore, we aim at extracting epileptic activity purely from the fMRI time series using independent component analysis (ICA). To our knowledge, we show for the first time that ICA can find sources related to epileptic activity in patients where no interictal spikes were recorded in the EEG. The epileptic components were identified retrospectively based on the known localization of the ictal onset zone (IOZ). We demonstrate that the selected components truly correspond to epileptic activity, as sources extracted from patients resemble significantly better the IOZ than sources found in healthy controls. Furthermore, we show that the epileptic components in patients with and without spikes recorded inside the scanner resemble the IOZ in the same degree. We conclude that ICA of fMRI has the potential to extend the applicability of EEG-fMRI for presurgical evaluation in epilepsy.Borbála HunyadiSimon TousseynBogdan MijovićPatrick DupontSabine Van HuffelWim Van PaesschenMaarten De VosPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 11, p e78796 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Borbála Hunyadi Simon Tousseyn Bogdan Mijović Patrick Dupont Sabine Van Huffel Wim Van Paesschen Maarten De Vos ICA extracts epileptic sources from fMRI in EEG-negative patients: a retrospective validation study.
description	Simultaneous EEG-fMRI has proven to be useful in localizing interictal epileptic activity. However, the applicability of traditional GLM-based analysis is limited as interictal spikes are often not seen on the EEG inside the scanner. Therefore, we aim at extracting epileptic activity purely from the fMRI time series using independent component analysis (ICA). To our knowledge, we show for the first time that ICA can find sources related to epileptic activity in patients where no interictal spikes were recorded in the EEG. The epileptic components were identified retrospectively based on the known localization of the ictal onset zone (IOZ). We demonstrate that the selected components truly correspond to epileptic activity, as sources extracted from patients resemble significantly better the IOZ than sources found in healthy controls. Furthermore, we show that the epileptic components in patients with and without spikes recorded inside the scanner resemble the IOZ in the same degree. We conclude that ICA of fMRI has the potential to extend the applicability of EEG-fMRI for presurgical evaluation in epilepsy.
format	article
author	Borbála Hunyadi Simon Tousseyn Bogdan Mijović Patrick Dupont Sabine Van Huffel Wim Van Paesschen Maarten De Vos
author_facet	Borbála Hunyadi Simon Tousseyn Bogdan Mijović Patrick Dupont Sabine Van Huffel Wim Van Paesschen Maarten De Vos
author_sort	Borbála Hunyadi
title	ICA extracts epileptic sources from fMRI in EEG-negative patients: a retrospective validation study.
title_short	ICA extracts epileptic sources from fMRI in EEG-negative patients: a retrospective validation study.
title_full	ICA extracts epileptic sources from fMRI in EEG-negative patients: a retrospective validation study.
title_fullStr	ICA extracts epileptic sources from fMRI in EEG-negative patients: a retrospective validation study.
title_full_unstemmed	ICA extracts epileptic sources from fMRI in EEG-negative patients: a retrospective validation study.
title_sort	ica extracts epileptic sources from fmri in eeg-negative patients: a retrospective validation study.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/4bf2bf0b3efa4ffab2f368e83d5e6868
work_keys_str_mv	AT borbalahunyadi icaextractsepilepticsourcesfromfmriineegnegativepatientsaretrospectivevalidationstudy AT simontousseyn icaextractsepilepticsourcesfromfmriineegnegativepatientsaretrospectivevalidationstudy AT bogdanmijovic icaextractsepilepticsourcesfromfmriineegnegativepatientsaretrospectivevalidationstudy AT patrickdupont icaextractsepilepticsourcesfromfmriineegnegativepatientsaretrospectivevalidationstudy AT sabinevanhuffel icaextractsepilepticsourcesfromfmriineegnegativepatientsaretrospectivevalidationstudy AT wimvanpaesschen icaextractsepilepticsourcesfromfmriineegnegativepatientsaretrospectivevalidationstudy AT maartendevos icaextractsepilepticsourcesfromfmriineegnegativepatientsaretrospectivevalidationstudy
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ICA extracts epileptic sources from fMRI in EEG-negative patients: a retrospective validation study.

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